package com.atguigu.app.func;

import com.alibaba.fastjson.JSONObject;
import com.atguigu.bean.TableProcess;
import com.atguigu.common.Constant;
import com.atguigu.util.HBaseUtil;
import com.atguigu.util.JdbcUtil;
import org.apache.flink.api.common.state.BroadcastState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.state.ReadOnlyBroadcastState;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction;
import org.apache.flink.util.Collector;

import java.sql.Connection;
import java.sql.DriverManager;
import java.util.*;

public class DimTableProcessFunction extends BroadcastProcessFunction<JSONObject, TableProcess, JSONObject> {

    private MapStateDescriptor<String, TableProcess> mapStateDescriptor;
    private HashMap<String, TableProcess> tableProcessHashMap;

    public DimTableProcessFunction(MapStateDescriptor<String, TableProcess> mapStateDescriptor) {
        this.mapStateDescriptor = mapStateDescriptor;
    }

    @Override
    public void open(Configuration parameters) throws Exception {

        //初始化HashMap
        tableProcessHashMap = new HashMap<>();

        //预加载配置信息  从MySQL查询一次
        Connection mysqlConn = DriverManager.getConnection(Constant.MYSQL_URL, "root", "000000");
        org.apache.hadoop.hbase.client.Connection hbaseConn = HBaseUtil.getConnection();
        List<TableProcess> queryList = JdbcUtil.queryList(mysqlConn, "select * from `gmall-230524-config`.table_process where sink_type='dim' ", TableProcess.class, true);
        for (TableProcess tableProcess : queryList) {
            byte[][] splitKeys = HBaseUtil.getSplitKeys(tableProcess.getSinkExtend());
            HBaseUtil.createTable(hbaseConn, Constant.HBASE_NAME_SPACE, tableProcess.getSinkTable(), splitKeys, tableProcess.getSinkFamily());
            tableProcessHashMap.put(tableProcess.getSourceTable(), tableProcess);
        }

        //关闭连接
        mysqlConn.close();
        hbaseConn.close();
    }

    //value:{"database":"gmall-220623-flink","table":"comment_info","type":"insert","ts":1669162958,"xid":1111,"xoffset":13941,"data":{"id":1595211185799847960,"user_id":119,"nick_name":null,"head_img":null,"sku_id":31,"spu_id":10,"order_id":987,"appraise":"1204","comment_txt":"评论内容：48384811984748167197482849234338563286217912223261","create_time":"2022-08-02 08:22:38","operate_time":null}}
    @Override
    public void processElement(JSONObject value, BroadcastProcessFunction<JSONObject, TableProcess, JSONObject>.ReadOnlyContext ctx, Collector<JSONObject> out) throws Exception {

        //获取广播状态数据
        ReadOnlyBroadcastState<String, TableProcess> broadcastState = ctx.getBroadcastState(mapStateDescriptor);
        String table = value.getString("table");
        TableProcess tableProcess = broadcastState.get(table);
        TableProcess tableProcessMap = tableProcessHashMap.get(table);
        String type = value.getString("type");

        //根据状态中的数据做过滤  行过滤
        if ((tableProcess != null || tableProcessMap != null) && !"bootstrap-start".equals(type) && !"bootstrap-complete".equals(type)) {
            if (tableProcess == null) {
                tableProcess = tableProcessMap;
            }
            //列过滤
            filterColumns(value.getJSONObject("data"), tableProcess.getSinkColumns());

            //插入未来需要的数据
            value.put("sink_table", tableProcess.getSinkTable());
            value.put("row_key_column", tableProcess.getSinkRowKey());
            value.put("sink_extend", tableProcess.getSinkExtend());
            value.put("sink_column_family", tableProcess.getSinkFamily());

            //写出
            out.collect(value);
        } else {
            System.out.println(table + "不是维表或者操作类型不匹配:" + type);
        }
    }

    @Override
    public void processBroadcastElement(TableProcess value, BroadcastProcessFunction<JSONObject, TableProcess, JSONObject>.Context ctx, Collector<JSONObject> out) throws Exception {

        //获取广播状态数据
        BroadcastState<String, TableProcess> broadcastState = ctx.getBroadcastState(mapStateDescriptor);

        //获取sink_type
        String sinkType = value.getSinkType();
        if ("dim".equals(sinkType)) {
            //获取op字段
            String op = value.getOp();
            //获取source_table字段
            String sourceTable = value.getSourceTable();

            //如果sink_type为dim,Op为"d"   则删除状态中的数据
            if ("d".equals(op)) {
                broadcastState.remove(sourceTable);
                tableProcessHashMap.remove(sourceTable);
            } else {
                //如果sink_type为dim,Op不为"d" 则添加状态中的数据
                broadcastState.put(sourceTable, value);
                //tableProcessHashMap.put(sourceTable, value);
            }
        }
    }

    /**
     * 列过滤方法
     *
     * @param data        待过滤数据  {"id":"12","tm_name":"atguigu","logo_url":"/aaa/bbb"}
     * @param sinkColumns 过滤条件    id,tm_name
     */
    private void filterColumns(JSONObject data, String sinkColumns) {

        String[] split = sinkColumns.split(",");
        List<String> columnsList = Arrays.asList(split);

//        Set<Map.Entry<String, Object>> entries = data.entrySet();
//        Iterator<Map.Entry<String, Object>> iterator = entries.iterator();
//        while (iterator.hasNext()) {
//            Map.Entry<String, Object> next = iterator.next();
//            if (!columnsList.contains(next.getKey())) {
//                iterator.remove();
//            }
//        }

        Set<Map.Entry<String, Object>> entries = data.entrySet();
        entries.removeIf(next -> !columnsList.contains(next.getKey()));
    }
}
